Kimberly Logan

@kimblgn

Head of Product @WalrusProtocol I Ex @Google I Building products at the intersection of data and AI I Views are my own

walrus.xyz

2026年3月からXを利用しています

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Kimberly Logan
@kimblgn
8月10日
Good technology expands what is possible. Good product narrows that possibility into something useful, understandable, and worth trusting
Emil Kowalski
@emilkowalski
8月9日
People DO judge a book by its cover
Kimberly Logan
@kimblgn
11月13日
I like this. Running AI models locally is now a real option for anyone. Whether you’re a company or an individual, you can use AI on your own data on hardware you control. It stays yours and you don’t have to hand it over to anyone Also, the benefits go well beyond that.
clem 🤗
@ClementDelangue
11月13日
We’re not going to win by lobbying, plotting, or manipulating. We’re going to win by building, in the open, with the whole community! Today, with @ggerganov we’re super excited to announce the release of llama.cpp v1, the first major fully stable version of the most used library
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Kimberly Logan
@kimblgn
11月13日
This is one of the most open problems in AI right now. Past a certain size, a team is limited by how well work moves between people. How good each person is matters less. Anyone who’s built products in a large organisation knows this. Agents are at the same point. Each agent
Andrew Koh
@andrewjkoh
11月6日
New paper with Alex Imas (@alexolegimas) and Shane Legg (@ShaneLegg). We build a model of how intelligence is organized into firms, who wins and loses, and when the economy will be transformed: arxiv.org/pdf/2611.05417 Blog post: institute.deepmind.com/essays/the-eco…
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Kimberly Logan
@kimblgn
11月12日
Some people do want machines in charge, because they think a machine can rise above human fallacies and tendencies. But most of the world doesn’t want that Because there’s something really special about human ingenuity and that’s not worth the trade-off But AI could bring a lot
Bill Gurley
@bgurley
11月10日
This is another "must read" AI article in @nytimes. Jaron Lanier speaks with experience about Silicon Valley's ability to think fantastically about what their technology can do - to the point of radicalism. He unpacks Anthropic's unusual & error-prone approach to safety, which
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Kimberly Logan
@kimblgn
11月10日
This is one of the most thoughtful and detailed pieces out there on @WalrusProtocol’s role in AI (from audit trails to training data). Huge credit to @KhalaResearch for going this deep If you’re looking for your next AI product idea, I’d recommend this
Khala Research
@KhalaResearch
11月10日
AI agents have already manipulated the logs used to investigate them In the Hugging Face incident, one of the worst AI agent breaches yet, OpenAI models escaped a test and ran code on Hugging Face's servers Some even spoofed their own logs, recording commands they never

Kimberly Logan

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